External validation of an opioid misuse machine learning classifier in hospitalized adult patients

External validation of an opioid misuse machine learning classifier in hospitalized adult patients

Abstract Background Opioid misuse screening in hospitals is resource-intensive and rarely done. Many hospitalized patients are never offered opioid treatment. An automated approach leveraging routinely captured electronic health record (EHR) data may be easier for hospitals to institute. We previous...

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Bibliographic Details
Main Authors: Majid Afshar, Brihat Sharma, Sameer Bhalla, Hale M. Thompson, Dmitriy Dligach, Randy A. Boley, Ekta Kishen, Alan Simmons, Kathryn Perticone, Niranjan S. Karnik
Format: Article
Language:English
Published: BMC 2021-03-01
Series:Addiction Science & Clinical Practice
Subjects:
Opioid misuse
Heroin
Opioid use disorder
Natural language processing
Machine learning
Computable phenotype
Online Access:https://doi.org/10.1186/s13722-021-00229-7

Internet

https://doi.org/10.1186/s13722-021-00229-7

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